Travis M.

Key Skills

Software

Labelbox

Don't disclose

Top Subject Matter

Computer vision annotation for object detection and action recognition

Multilingual speech-to-text transcript QA for evaluation and training datasets

LLM evaluation and preference ranking for fine-tuning/alignments

Top Data Types

Image

Audio

Text

Top Task Types

Object Detection

Transcription

RLHF

Data Collection

Freelancer Overview

Senior AI Data & Annotation Specialist — Image Annotation Assistant (Multimodal). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Labelbox, Don't disclose, and Internal. Education includes Master of Science, University of Texas at Austin (2025) and Bachelor of Science, Texas State University (2022). AI-training focus includes data types such as Image, Audio, and Text and labeling workflows including Object Detection, Transcription, and RLHF.

Labeling Experience

Senior AI Data & Annotation Specialist — Localization Quality Review (Bilingual)

Don't discloseText

Freelance senior AI data work included bilingual localization quality review to improve translated AI outputs. Responsibilities focused on correcting cultural inaccuracies and improving phrasing for English-to-Spanish localization quality. The work ensured translated responses met expectations for international AI model behavior. • Reviewed English-to-Spanish translated outputs for cultural and phrasing issues. • Corrected cultural inaccuracies and awkward translations. • Ensured localization quality suitable for global AI training and evaluation. • Contributed to reducing overall dataset error through improved translation QA.

2024 - 2026

Senior AI Data & Annotation Specialist — Data Quality Analyst / Content Reviewer

Text

Freelance senior AI data work also included data quality analysis and content moderation to keep training and evaluation prompts within policy. Responsibilities focused on identifying harmful or off-topic content and verifying adherence to moderation guidelines. The role combined rubric-driven reviews with large-scale QC throughput. • Moderated and policy-checked 6,000+ prompts/responses for harmful or off-topic content. • Performed content moderation and data quality checks for dataset readiness. • Flagged issues affecting formatting consistency and guideline compliance. • Supported reliable dataset construction for high-volume AI training pipelines.

2024 - 2026

Senior AI Data & Annotation Specialist — Prompt Response Reviewer

TextRLHF

Freelance senior AI data work included prompt/response review to evaluate and score LLM outputs for training and alignment. Responsibilities covered pairwise comparison and preference ranking using rubrics for fluency, factual accuracy, and safety. Outputs were used to inform LLM fine-tuning and dataset refinement. • Evaluated 4,500+ AI-generated responses using pairwise comparison and preference ranking. • Scored fluency, factual accuracy, and safety for LLM fine-tuning readiness. • Used content review to identify and flag issues impacting alignment quality. • Achieved consistent quality at scale while maintaining required agreement rates.

2024 - 2026

Senior AI Data & Annotation Specialist — Audio Transcription QA

Don't discloseAudioTranscription

Freelance senior AI data and annotation work included audio transcription quality assurance for multilingual ASR datasets. Responsibilities involved reviewing and correcting ASR-generated transcripts to improve transcription accuracy and dataset usability. Quality gains were tracked via word error rate reductions for English and Spanish. • Reviewed and corrected 3,800+ ASR-generated transcripts for English and Spanish. • Improved word error rate by 18% through transcript correction. • Performed QA checks to ensure consistency with expected transcription outputs. • Supported downstream evaluation and training pipelines with higher-quality text outputs.

2024 - 2026

Senior AI Data & Annotation Specialist — Image Annotation Assistant (Multimodal)

LabelboxImageObject Detection

Freelance senior AI data and annotation work focused on high-volume multimodal image labeling for computer vision training. Activities included drawing bounding boxes, polygons, and object tags to support object detection and action recognition tasks. Work emphasized accuracy, consistency, and high throughput across recurring weekly pipelines. • Labeled 9,000+ images with bounding boxes, polygons, and object tags for CV models. • Specialized in object detection and action recognition annotation needs. • Maintained 98% inter-annotator agreement across high-volume pipelines. • Delivered consistent weekly throughput of 1,200+ tasks while meeting QC standards.

2024 - 2026

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Education

Work History